Permute
Senior Data Engineer
Chicago · Senior · Full-time
Sponsorship not specifiedDetected 117 days ago
PythonAWSMachine LearningData EngineeringLLMsA/B TestingDesign Systems
About the role
- We care as much about how you think and build as we do about your background.
- The ideal candidate is someone who can reason through new data problems, prototype quickly, and build robust pipelines and infrastructure in a fast-moving startup environment.
- This role is for builders who move quickly, think clearly in ambiguous situations, and take ownership of turning messy data and evolving requirements into reliable, scalable systems.
Responsibilities
- Design and build scalable data pipelines and infrastructure supporting AI and ML systems
- Develop and maintain data ingestion, transformation, and storage systems for large-scale datasets
- Build data platforms that support LLM systems, agent workflows, and model evaluation
- Develop tooling for data quality, validation, monitoring, and observability
- Collaborate with engineering, product, and ML teams to deliver data systems that power AI features
- Design systems that enable efficient experimentation, training, and evaluation of models
- Optimize performance, reliability, and scalability of data infrastructure
- Experience building scalable data pipelines and data platforms
- 5+ years building and operating systems in AWS environments
- Permute is seeking a Senior Data Engineer to design, build, and operate the data infrastructure that powers production AI systems.
Requirements
- Proficiency with Python and modern data infrastructure tools
- Experience with:
Nice to have
- Degree in Mathematics, Physics, Computer Science, or a related technical field
Company info
- Permute (www.permute.ai http://www.permute.ai)
- Operate effectively in ambiguous, rapidly evolving startup environments
- Strong background in data engineering and distributed systems
- Strong foundation in algorithms, statistics, and data modeling
- End-to-end production data platforms
- Streaming and batch data processing systems
- Data infrastructure supporting ML training, MLOps, evaluation, and deployment
- Data quality, monitoring, and observability systems
- Infrastructure supporting AI or LLM-powered applications
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This listing is sourced directly from Permute's careers page and normalized into a canonical job model.